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%\author{Jing Deng}

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\section{Research Statement}
Dr. Jing Deng's research interest includes \textbf{non-linear system identification}, intelligent control, \textbf{heuristic Optimization}(Particle Swarm Optimization (PSO), Differential Evolution (DE), and Extreme learning Machine (ELM)), classification (Support Vector Machine (SVM) and Fisher Discriminant Analysis (FDA)), and fault detection and diagnosis, with applications to power plant, power system monitoring, automotive engine monitoring, \textbf{polymer extrusion}, and stretch-blow moulding.  

His PhD research was on the topic of advanced data-driven approaches for non-linear system modelling and identification. Specifically, the early proposed Fast model selection methods proposed by Prof. Li and Prof. Irwin have been improved to integrate Bayesian regularisation [\ref{deng2009engine},\ref{deng2011locally},\ref{deng2010fastFRA}] to prevent over-fitting and leave-one-out cross validation for automatic model construction [\ref{deng2011fast},\ref{deng2010fast},\ref{Deng10TwoStageAutomatic}]. To further enhance model generalization capability, some heuristic methods were also embedded in the two-stage selection to optimize the non-linear parameters involved in model construction. These include Particle Swarm Optimization (PSO) [\ref{deng2011PSO}], Defferential Evolution (DE) [\ref{deng2012heuristically}] and Extreme Learning Machine (ELM) [\ref{deng2011fast}]. The effectiveness and efficiency of all these advanced methods have been confirmed on both well-known benchmarks and real world data sets from automotive engine and polymer extrusion applications. He has also applied the DE method to optimization power transmission[\ref{Niu2012Improved}].

Dr. Deng's current research is on the development of intelligent control for polymer extrusion. The project aims at reducing energy consumption and improving the product quality. The \textbf{CompactRIO data acquisition} system and \textbf{LabVIEW} from National Instruments (NI) are used for the control system design. During the past one and half years, he has successfully developed novel \textbf{energy monitoring} methods for both thermal heating and the drive motor. These provide low cost, reliable and flexible energy monitoring approaches without using physical power meters. Furthermore, the proposed methods are easy to implement in an industrial environment where energy usage at each component can be obtained without interrupting the processing line. An \textbf{intelligent controller} based on fuzzy logic has also been developed for both melt pressure and melt temperature to ensure a stable melt stream. All research outputs have been disseminated via either international conferences [\ref{deng2012energy},\ref{deng2012meltfuzzy}] or journal publications [\ref{deng2012EnergyQuality},\ref{deng2012investigation},\ref{Vera2012Thermal}]. Close relationships with industrial partners (Greiner Packaging and Cherry Pipes) have also been established and this has been a key component in the success of the research. 

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\section{Publications}
\subsection{Patent}
\begin{enumerate}
\item \bibentry{Deng2008LED}
\end{enumerate}

\subsection{Journal papers}
\begin{enumerate}
\item \bibentry{zhang2012fastmodel}
\item *\bibentry{deng2012EnergyQuality}\label{deng2012EnergyQuality}
\item *\bibentry{deng2012investigation}\label{deng2012investigation}
\item \bibentry{Vera2012Thermal}\label{Vera2012Thermal}
\item \bibentry{Niu2012Improved}\label{Niu2012Improved}
\item \bibentry{du2012Novel}
\item \bibentry{abeykoon2011new}
\item \bibentry{deng2011fast}\label{deng2011fast}
\item \bibentry{deng2011PSO} \label{deng2011PSO}
\item *\bibentry{deng2011locally}\label{deng2011locally}
\item \bibentry{liu2011application}
\item \bibentry{li2010compact}
\item \bibentry{deng2007design}
\end{enumerate}

\subsection{Conference papers}
\begin{enumerate}\addtocounter{enumi}{13}
\item \bibentry{deng2012Aoptimality}
\item \bibentry{deng2012energy} \label{deng2012energy}
\item \bibentry{du2012efficient}\label{du2012efficient}
\item \bibentry{deng2012heuristically}\label{deng2012heuristically}
\item \bibentry{liu2012polymer}
\item \bibentry{deng2012meltfuzzy} \label{deng2012meltfuzzy}
\item \bibentry{abeykoon2010modellinglsms}
\item \bibentry{abeykoon2010modellingukacc}
\item \bibentry{Deng10_TwoStageAutomatic}  \label{Deng10TwoStageAutomatic}
\item \bibentry{liu2010soft} 
\item \bibentry{deng2010fastFRA}\label{deng2010fastFRA}
\item \bibentry{liu2010improved}
\item \bibentry{deng2010fast} \label{deng2010fast}
\item \bibentry{deng2009engine} \label{deng2009engine}
\item \bibentry{Li2008Novel}
\end{enumerate}

\section{Presentations}
\begin{enumerate}
\item \textbf{Conference}, `Heuristically optimized RBF neural model for the control of section weights in stretch blow moulding', The UKACC (United Kingdom Automatic Control Council) International Conference on Control (CONTROL 2012), 3 - 5 Sep 2012, Cardiff, UK.
\item \textbf{Invited lecture}, `System identification and its application to Polymer extrusion', Multidisciplinary Forum at Belfast, 22 July 2012, Belfast, UK.
\item \textbf{Invited conference presentation}, `Development of enhanced extruder control', Sustainable Thermal Energy Management in the process industries International Conference (SusTEM 2011), 25-25 Oct 2011, Newcastle, UK.
\item \textbf{Invited conference presentation}, `Single screw extruder control', Polymer Processing and Engineering conference (PPE 11), 6 Nov 2011, Bradford, UK.
\item \textbf{Conference}, `Fast forward RBF network construction based on particle swarm optimization', International Conference on Life System Modeling and Simulation \& 2010 International Conference on Intelligent Computing for Sustainable Energy and Environment (LSMS \& ICSEE 2010), 18 Sep 2010, Wuxi, China.
\item \textbf{Conference}, `Modelling the effects of operating conditions on motor power consumption in single screw extrusion', International Conference on Life System Modeling and Simulation \& 2010 International Conference on Intelligent Computing for Sustainable Energy and Environment (LSMS \& ICSEE 2010), 18 Sep 2010, Wuxi, China.
\item \textbf{Conference}, `Improved Nonlinear PCA Based on RBF Networks and Principal Curves', International Conference on Life System Modeling and Simulation \& 2010 International Conference on Intelligent Computing for Sustainable Energy and Environment (LSMS \& ICSEE 2010), 19 Sep 2010, Wuxi, China.
\item \textbf{Conference}, `Engine fault detection using a nonlinear FIR model and a locally regularised recursive algorithm', The 20th Irish Signals and Systems Conference (ISSC 2009), 10-11 Jun 2009, Dublin, Ireland.
\item \textbf{Conference}, `Design of OPC server based on USB data acquisition module', The 8th industrial instrumentation and automation conference, Shanghai, China.
\end{enumerate}

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